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  <div class="section" id="numpy-array">
<h1>numpy.array<a class="headerlink" href="#numpy-array" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="numpy.array">
<code class="sig-prename descclassname">numpy.</code><code class="sig-name descname">array</code><span class="sig-paren">(</span><em class="sig-param">object</em>, <em class="sig-param">dtype=None</em>, <em class="sig-param">copy=True</em>, <em class="sig-param">order='K'</em>, <em class="sig-param">subok=False</em>, <em class="sig-param">ndmin=0</em><span class="sig-paren">)</span><a class="headerlink" href="#numpy.array" title="Permalink to this definition">¶</a></dt>
<dd><p>Create an array.</p>
<dl class="field-list">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl>
<dt><strong>object</strong><span class="classifier">array_like</span></dt><dd><p>An array, any object exposing the array interface, an object whose
__array__ method returns an array, or any (nested) sequence.</p>
</dd>
<dt><strong>dtype</strong><span class="classifier">data-type, optional</span></dt><dd><p>The desired data-type for the array.  If not given, then the type will
be determined as the minimum type required to hold the objects in the
sequence.</p>
</dd>
<dt><strong>copy</strong><span class="classifier">bool, optional</span></dt><dd><p>If true (default), then the object is copied.  Otherwise, a copy will
only be made if __array__ returns a copy, if obj is a nested sequence,
or if a copy is needed to satisfy any of the other requirements
(<a class="reference internal" href="numpy.dtype.html#numpy.dtype" title="numpy.dtype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></a>, <em class="xref py py-obj">order</em>, etc.).</p>
</dd>
<dt><strong>order</strong><span class="classifier">{‘K’, ‘A’, ‘C’, ‘F’}, optional</span></dt><dd><p>Specify the memory layout of the array. If object is not an array, the
newly created array will be in C order (row major) unless ‘F’ is
specified, in which case it will be in Fortran order (column major).
If object is an array the following holds.</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 8%" />
<col style="width: 14%" />
<col style="width: 78%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>order</p></th>
<th class="head"><p>no copy</p></th>
<th class="head"><p>copy=True</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p>‘K’</p></td>
<td><p>unchanged</p></td>
<td><p>F &amp; C order preserved, otherwise most similar order</p></td>
</tr>
<tr class="row-odd"><td><p>‘A’</p></td>
<td><p>unchanged</p></td>
<td><p>F order if input is F and not C, otherwise C order</p></td>
</tr>
<tr class="row-even"><td><p>‘C’</p></td>
<td><p>C order</p></td>
<td><p>C order</p></td>
</tr>
<tr class="row-odd"><td><p>‘F’</p></td>
<td><p>F order</p></td>
<td><p>F order</p></td>
</tr>
</tbody>
</table>
<p>When <code class="docutils literal notranslate"><span class="pre">copy=False</span></code> and a copy is made for other reasons, the result is
the same as if <code class="docutils literal notranslate"><span class="pre">copy=True</span></code>, with some exceptions for <em class="xref py py-obj">A</em>, see the
Notes section. The default order is ‘K’.</p>
</dd>
<dt><strong>subok</strong><span class="classifier">bool, optional</span></dt><dd><p>If True, then sub-classes will be passed-through, otherwise
the returned array will be forced to be a base-class array (default).</p>
</dd>
<dt><strong>ndmin</strong><span class="classifier">int, optional</span></dt><dd><p>Specifies the minimum number of dimensions that the resulting
array should have.  Ones will be pre-pended to the shape as
needed to meet this requirement.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt><strong>out</strong><span class="classifier">ndarray</span></dt><dd><p>An array object satisfying the specified requirements.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="numpy.empty_like.html#numpy.empty_like" title="numpy.empty_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty_like</span></code></a></dt><dd><p>Return an empty array with shape and type of input.</p>
</dd>
<dt><a class="reference internal" href="numpy.ones_like.html#numpy.ones_like" title="numpy.ones_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones_like</span></code></a></dt><dd><p>Return an array of ones with shape and type of input.</p>
</dd>
<dt><a class="reference internal" href="numpy.zeros_like.html#numpy.zeros_like" title="numpy.zeros_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros_like</span></code></a></dt><dd><p>Return an array of zeros with shape and type of input.</p>
</dd>
<dt><a class="reference internal" href="numpy.full_like.html#numpy.full_like" title="numpy.full_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">full_like</span></code></a></dt><dd><p>Return a new array with shape of input filled with value.</p>
</dd>
<dt><a class="reference internal" href="numpy.empty.html#numpy.empty" title="numpy.empty"><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty</span></code></a></dt><dd><p>Return a new uninitialized array.</p>
</dd>
<dt><a class="reference internal" href="numpy.ones.html#numpy.ones" title="numpy.ones"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones</span></code></a></dt><dd><p>Return a new array setting values to one.</p>
</dd>
<dt><a class="reference internal" href="numpy.zeros.html#numpy.zeros" title="numpy.zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros</span></code></a></dt><dd><p>Return a new array setting values to zero.</p>
</dd>
<dt><a class="reference internal" href="numpy.full.html#numpy.full" title="numpy.full"><code class="xref py py-obj docutils literal notranslate"><span class="pre">full</span></code></a></dt><dd><p>Return a new array of given shape filled with value.</p>
</dd>
</dl>
</div>
<p class="rubric">Notes</p>
<p>When order is ‘A’ and <a class="reference external" href="https://docs.python.org/dev/library/functions.html#object" title="(in Python v3.9)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">object</span></code></a> is an array in neither ‘C’ nor ‘F’ order,
and a copy is forced by a change in dtype, then the order of the result is
not necessarily ‘C’ as expected. This is likely a bug.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
<span class="go">array([1, 2, 3])</span>
</pre></div>
</div>
<p>Upcasting:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">])</span>
<span class="go">array([ 1.,  2.,  3.])</span>
</pre></div>
</div>
<p>More than one dimension:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">]])</span>
<span class="go">array([[1, 2],</span>
<span class="go">       [3, 4]])</span>
</pre></div>
</div>
<p>Minimum dimensions 2:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="go">array([[1, 2, 3]])</span>
</pre></div>
</div>
<p>Type provided:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">complex</span><span class="p">)</span>
<span class="go">array([ 1.+0.j,  2.+0.j,  3.+0.j])</span>
</pre></div>
</div>
<p>Data-type consisting of more than one element:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">),(</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">)],</span><span class="n">dtype</span><span class="o">=</span><span class="p">[(</span><span class="s1">&#39;a&#39;</span><span class="p">,</span><span class="s1">&#39;&lt;i4&#39;</span><span class="p">),(</span><span class="s1">&#39;b&#39;</span><span class="p">,</span><span class="s1">&#39;&lt;i4&#39;</span><span class="p">)])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;a&#39;</span><span class="p">]</span>
<span class="go">array([1, 3])</span>
</pre></div>
</div>
<p>Creating an array from sub-classes:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mat</span><span class="p">(</span><span class="s1">&#39;1 2; 3 4&#39;</span><span class="p">))</span>
<span class="go">array([[1, 2],</span>
<span class="go">       [3, 4]])</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mat</span><span class="p">(</span><span class="s1">&#39;1 2; 3 4&#39;</span><span class="p">),</span> <span class="n">subok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="go">matrix([[1, 2],</span>
<span class="go">        [3, 4]])</span>
</pre></div>
</div>
</dd></dl>

</div>


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